scholarly journals Effects of using mobile devices on English listening diversity and speaking for EFL elementary students

Author(s):  
Wu-Yuin Hwang ◽  
Yueh-Min Huang ◽  
Rustam Shadiev ◽  
Sheng-Yi Wu ◽  
Shu-Lin Chen

<p class="Abstract">This study designed learning activities supported by a mobile learning system for students to develop listening and speaking skills in English as a foreign language (EFL). How students perceive learning activities and a mobile learning system were examined in this study. Additionally, how different practices relate to students’ language proficiency was also explored. It was found that students had positive perceptions and intentions toward learning activities; thus, students were motivated to practice English skills more when using a mobile learning system. The results demonstrated how students’ speaking and listening skills practices using mobile devices had different correlations depending on their proficiency levels. For example, listening diversity, defined as the number of other classmates a student listened to, was found to have an inverse correlation with speaking and listening proficiency. This finding does not support previous research and indicates that students who carefully selected their listening partners performed better than those who did not. It was further found that the better students performed in English learning, the fewer partners they would choose. EFL instructors can use the insights of this study to design more effective language learning activities for students using mobile devices.</p><p class="Firstparagraphstyle"> </p>

Author(s):  
Anna Trifonova

This chapter has the aim to point out an important functionality of a ubiquitous mobile system, and more specifically, its application in the learning domain. This functionality is the possibility to access the learning material from mobile devices, like PDAs (personal digital assistants) during their off-line periods and the technique to approach it, called hoarding. The chapter starts with the overview of a concrete mobile learning system—Mobile ELDIT, so as to give a clear idea of when and how this problem appears and why it is important to pay attention to it. Later, a description of the development approaches for both general and concrete solutions are discussed, followed by more detailed description of the important hoarding steps.


2009 ◽  
pp. 1367-1380 ◽  
Author(s):  
Anna Trifonova

This chapter has the aim to point out an important functionality of a ubiquitous mobile system, and more specifically, its application in the learning domain. This functionality is the possibility to access the learning material from mobile devices, like PDAs (personal digital assistants) during their off-line periods and the technique to approach it, called hoarding. The chapter starts with the overview of a concrete mobile learning system—Mobile ELDIT, so as to give a clear idea of when and how this problem appears and why it is important to pay attention to it. Later, a description of the development approaches for both general and concrete solutions are discussed, followed by more detailed description of the important hoarding steps.


2011 ◽  
Vol 9 (1) ◽  
pp. 44-56 ◽  
Author(s):  
Haitao Pu ◽  
Jinjiao Lin ◽  
Yanwei Song ◽  
Fasheng Liu

Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for mobile devices to adapt to e-learning is presented. To provide device-independence mobile learning services, a context-aware mobile learning approach is proposed. Firstly, the formal definitions of contexts and their influence on mobile learning services, including device contexts NCxt, matrix of information transmission parameters S, the degree of influence of the context NCxt on information transmission parameters Q, and adaptation coefficient E, are given. By using this approach, the mobile learning system is constructed. In an example using this approach, the authors detect the contextual environment of mobile computing and adapt the mobile learning services to the learners’ devices automatically.


Tech-E ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 42
Author(s):  
Paulus Yayan Christian ◽  
Wiyono Wiyono

Teaching and learning activities, especially in Higher Education, from time to time develop along with the development of technology, especially information technology. Initially, the teaching and learning activities at the Faculty of Science and Technology of the Buddhist Dharma University (FST-UBD) used a manual system in the form of face-to-face class. The system (for several courses and meetings) developed into distance learning (e-learning) where lecturers and students did not meet in teaching and learning activities in the classroom but through the internet media. This distance learning system uses computer or laptop facilities. The e-learning system was developed into a mobile learning system, which is a distance learning system using an Android-based smartphone. In the mobile learning system, lecturers can provide lecture material and assignments to students. Students can view lecture material via cellphone and can download the material. Students can submit assignments to lecturers via cellphone. The University can provide information about the seminar to be held. Students can choose the seminar to be followed and can register for the seminar via cellphone. This application system can be run well and can help facilitate the process of teaching and learning activities for lecturers and students. Lecturers can upload material and assignments for students. Students can view / download material and submit assignments to the lecturer. The university can provide information about the seminar and the seminar registration process.


2011 ◽  
Vol 271-273 ◽  
pp. 1272-1278 ◽  
Author(s):  
Hai Guang Fang ◽  
Min Liu ◽  
Xiao Chun Wang

The diverse development of mobile terminal equipment and wireless networks makes more people choose mobile Learning, and how to select the appropriate equipment environment to support learning activities has become confusion in research and practice of mobile learning. In this paper , The terminal equipment and network access of mobile learning system environment are collectively referred to as mobile learning system equipment environment, it will separated describe the classification and characteristics of different mobile terminals and wireless network in detail, build an universal mobile learning system equipment environment model, have specific instructions of common mobile learning equipment environment based on this model, and the choice of mobile learning system equipment environment of existed typical mobile learning application cases home and abroad are classified and summarized. Finally, it will prospect the development of the future of mobile learning equipment environment.


Author(s):  
Anna Trifonova

This chapter has the aim to point out an important functionality of a ubiquitous mobile system, and more specifically, its application in the learning domain. This functionality is the possibility to access the learning material from mobile devices, like PDAs (personal digital assistants) during their off-line periods and the technique to approach it, called hoarding. The chapter starts with the overview of a concrete mobile learning system—Mobile ELDIT, so as to give a clear idea of when and how this problem appears and why it is important to pay attention to it. Later, a description of the development approaches for both general and concrete solutions are discussed, followed by more detailed description of the important hoarding steps.


Author(s):  
Anna Trifonova

This chapter has the aim to point out an important functionality of a ubiquitous mobile system, and more specifically, its application in the learning domain. This functionality is the possibility to access the learning material from mobile devices, like PDAs (personal digital assistants) during their offline periods and the technique to approach it, called hoarding. The chapter starts with the overview of a concrete mobile learning system—Mobile ELDIT, so as to give a clear idea of when and how this problem appears and why it is important to pay attention to it. Later, a description of the development approaches for both general and concrete solutions are discussed, followed by more detailed description of the important hoarding steps.


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